Overview

Dataset statistics

Number of variables17
Number of observations171
Missing cells458
Missing cells (%)15.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.8 KiB
Average record size in memory136.7 B

Variable types

Numeric5
Text7
Categorical4
Unsupported1

Alerts

airdate has constant value ""Constant
id_embedded is highly overall correlated with seasonHigh correlation
season is highly overall correlated with id_embeddedHigh correlation
number is highly overall correlated with type and 2 other fieldsHigh correlation
runtime is highly overall correlated with typeHigh correlation
type is highly overall correlated with number and 1 other fieldsHigh correlation
airtime is highly overall correlated with number and 1 other fieldsHigh correlation
airstamp is highly overall correlated with number and 1 other fieldsHigh correlation
type is highly imbalanced (93.5%)Imbalance
airtime is highly imbalanced (61.6%)Imbalance
number has 2 (1.2%) missing valuesMissing
runtime has 11 (6.4%) missing valuesMissing
rating_average has 171 (100.0%) missing valuesMissing
medium has 91 (53.2%) missing valuesMissing
original has 91 (53.2%) missing valuesMissing
summary has 92 (53.8%) missing valuesMissing
id has unique valuesUnique
url has unique valuesUnique
_links_self has unique valuesUnique
rating_average is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-08-05 21:18:45.350351
Analysis finished2023-08-05 21:18:49.317221
Duration3.97 seconds
Software versionydata-profiling vv4.4.0
Download configurationconfig.json

Variables

id
Real number (ℝ)

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2444653.7
Minimum2323161
Maximum2603381
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:49.410300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2323161
5-th percentile2400189
Q12427729
median2438318
Q32452719.5
95-th percentile2517978.5
Maximum2603381
Range280220
Interquartile range (IQR)24990.5

Descriptive statistics

Standard deviation38178.061
Coefficient of variation (CV)0.01561696
Kurtosis4.8623154
Mean2444653.7
Median Absolute Deviation (MAD)14399
Skewness1.3728024
Sum4.1803579 × 108
Variance1.4575643 × 109
MonotonicityNot monotonic
2023-08-05T16:18:49.583056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2450906 1
 
0.6%
2442731 1
 
0.6%
2454076 1
 
0.6%
2454077 1
 
0.6%
2442332 1
 
0.6%
2440940 1
 
0.6%
2442203 1
 
0.6%
2441097 1
 
0.6%
2489442 1
 
0.6%
2438066 1
 
0.6%
Other values (161) 161
94.2%
ValueCountFrequency (%)
2323161 1
0.6%
2327473 1
0.6%
2372672 1
0.6%
2372683 1
0.6%
2393535 1
0.6%
2395103 1
0.6%
2397824 1
0.6%
2399082 1
0.6%
2399220 1
0.6%
2401158 1
0.6%
ValueCountFrequency (%)
2603381 1
0.6%
2577817 1
0.6%
2573107 1
0.6%
2572524 1
0.6%
2568631 1
0.6%
2568630 1
0.6%
2550682 1
0.6%
2519147 1
0.6%
2517979 1
0.6%
2517978 1
0.6%

id_embedded
Real number (ℝ)

HIGH CORRELATION 

Distinct110
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56436.889
Minimum81
Maximum69351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:49.764089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum81
5-th percentile19670.5
Q154367.5
median63480
Q365365
95-th percentile67431
Maximum69351
Range69270
Interquartile range (IQR)10997.5

Descriptive statistics

Standard deviation15217.481
Coefficient of variation (CV)0.26963713
Kurtosis3.0606066
Mean56436.889
Median Absolute Deviation (MAD)2670
Skewness-1.9347318
Sum9650708
Variance2.3157173 × 108
MonotonicityNot monotonic
2023-08-05T16:18:49.929665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
64860 8
 
4.7%
61880 7
 
4.1%
65188 6
 
3.5%
65365 6
 
3.5%
60736 6
 
3.5%
66150 5
 
2.9%
66583 5
 
2.9%
65911 4
 
2.3%
62166 3
 
1.8%
47633 3
 
1.8%
Other values (100) 118
69.0%
ValueCountFrequency (%)
81 1
0.6%
4175 1
0.6%
6220 1
0.6%
6441 1
0.6%
13215 1
0.6%
13818 2
1.2%
16753 1
0.6%
17046 1
0.6%
22295 1
0.6%
24727 1
0.6%
ValueCountFrequency (%)
69351 1
 
0.6%
69238 2
 
1.2%
68784 1
 
0.6%
68144 1
 
0.6%
67907 1
 
0.6%
67883 2
 
1.2%
67694 1
 
0.6%
67168 3
1.8%
67082 1
 
0.6%
66583 5
2.9%

url
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:50.206295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length103
Mean length79.081871
Min length59

Characters and Unicode

Total characters13523
Distinct characters40
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)100.0%

Sample

1st rowhttps://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87
2nd rowhttps://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88
3rd rowhttps://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15
4th rowhttps://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16
5th rowhttps://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria
ValueCountFrequency (%)
https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87 1
 
0.6%
https://www.tvmaze.com/episodes/2433630/zamerzsie-1x05-seria-5 1
 
0.6%
https://www.tvmaze.com/episodes/2476693/neizvestnoe-budusee-1x01-seria-1 1
 
0.6%
https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15 1
 
0.6%
https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16 1
 
0.6%
https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria 1
 
0.6%
https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1 1
 
0.6%
https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2 1
 
0.6%
https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3 1
 
0.6%
https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4 1
 
0.6%
Other values (161) 161
94.2%
2023-08-05T16:18:50.727593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
e 1131
 
8.4%
- 1016
 
7.5%
s 872
 
6.4%
/ 855
 
6.3%
t 801
 
5.9%
o 720
 
5.3%
a 594
 
4.4%
w 579
 
4.3%
i 540
 
4.0%
p 499
 
3.7%
Other values (30) 5916
43.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 9253
68.4%
Decimal Number 1886
 
13.9%
Other Punctuation 1368
 
10.1%
Dash Punctuation 1016
 
7.5%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1131
12.2%
s 872
 
9.4%
t 801
 
8.7%
o 720
 
7.8%
a 594
 
6.4%
w 579
 
6.3%
i 540
 
5.8%
p 499
 
5.4%
m 452
 
4.9%
d 362
 
3.9%
Other values (16) 2703
29.2%
Decimal Number
ValueCountFrequency (%)
2 361
19.1%
1 323
17.1%
4 266
14.1%
0 238
12.6%
3 201
10.7%
5 117
 
6.2%
8 105
 
5.6%
6 103
 
5.5%
7 87
 
4.6%
9 85
 
4.5%
Other Punctuation
ValueCountFrequency (%)
/ 855
62.5%
. 342
 
25.0%
: 171
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1016
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 9253
68.4%
Common 4270
31.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1131
12.2%
s 872
 
9.4%
t 801
 
8.7%
o 720
 
7.8%
a 594
 
6.4%
w 579
 
6.3%
i 540
 
5.8%
p 499
 
5.4%
m 452
 
4.9%
d 362
 
3.9%
Other values (16) 2703
29.2%
Common
ValueCountFrequency (%)
- 1016
23.8%
/ 855
20.0%
2 361
 
8.5%
. 342
 
8.0%
1 323
 
7.6%
4 266
 
6.2%
0 238
 
5.6%
3 201
 
4.7%
: 171
 
4.0%
5 117
 
2.7%
Other values (4) 380
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 13523
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
e 1131
 
8.4%
- 1016
 
7.5%
s 872
 
6.4%
/ 855
 
6.3%
t 801
 
5.9%
o 720
 
5.3%
a 594
 
4.4%
w 579
 
4.3%
i 540
 
4.0%
p 499
 
3.7%
Other values (30) 5916
43.7%

name
Text

Distinct149
Distinct (%)87.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:51.100091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length96
Median length52
Mean length15.871345
Min length3

Characters and Unicode

Total characters2714
Distinct characters144
Distinct categories14 ?
Distinct scripts4 ?
Distinct blocks7 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)79.5%

Sample

1st rowСерия 87
2nd rowСерия 88
3rd rowСерия 15
4th rowСерия 16
5th row8 серия
ValueCountFrequency (%)
episode 31
 
6.0%
серия 26
 
5.0%
the 15
 
2.9%
1 12
 
2.3%
2 9
 
1.7%
a 8
 
1.5%
6 7
 
1.3%
odcinek 6
 
1.2%
3 6
 
1.2%
and 5
 
1.0%
Other values (339) 395
76.0%
2023-08-05T16:18:51.678903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
349
 
12.9%
e 214
 
7.9%
o 157
 
5.8%
i 120
 
4.4%
s 119
 
4.4%
a 109
 
4.0%
n 98
 
3.6%
t 90
 
3.3%
d 86
 
3.2%
r 73
 
2.7%
Other values (134) 1299
47.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1752
64.6%
Uppercase Letter 414
 
15.3%
Space Separator 349
 
12.9%
Decimal Number 122
 
4.5%
Other Punctuation 38
 
1.4%
Other Letter 30
 
1.1%
Dash Punctuation 2
 
0.1%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%
Other values (4) 4
 
0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 214
 
12.2%
o 157
 
9.0%
i 120
 
6.8%
s 119
 
6.8%
a 109
 
6.2%
n 98
 
5.6%
t 90
 
5.1%
d 86
 
4.9%
r 73
 
4.2%
p 63
 
3.6%
Other values (51) 623
35.6%
Uppercase Letter
ValueCountFrequency (%)
E 55
 
13.3%
T 38
 
9.2%
С 30
 
7.2%
S 23
 
5.6%
A 21
 
5.1%
D 20
 
4.8%
P 18
 
4.3%
B 18
 
4.3%
O 18
 
4.3%
W 15
 
3.6%
Other values (34) 158
38.2%
Other Letter
ValueCountFrequency (%)
ا 7
23.3%
ل 7
23.3%
ة 3
10.0%
ح 2
 
6.7%
ق 2
 
6.7%
ي 2
 
6.7%
م 2
 
6.7%
ن 2
 
6.7%
ك 1
 
3.3%
ت 1
 
3.3%
Decimal Number
ValueCountFrequency (%)
1 31
25.4%
3 19
15.6%
2 18
14.8%
8 12
 
9.8%
4 11
 
9.0%
6 10
 
8.2%
5 9
 
7.4%
0 7
 
5.7%
7 3
 
2.5%
9 2
 
1.6%
Other Punctuation
ValueCountFrequency (%)
. 7
18.4%
' 7
18.4%
? 6
15.8%
, 5
13.2%
" 4
10.5%
: 4
10.5%
! 3
7.9%
¿ 1
 
2.6%
1
 
2.6%
Space Separator
ValueCountFrequency (%)
349
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Math Symbol
ValueCountFrequency (%)
| 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%
Initial Punctuation
ValueCountFrequency (%)
« 1
100.0%
Final Punctuation
ValueCountFrequency (%)
» 1
100.0%
Currency Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1842
67.9%
Common 518
 
19.1%
Cyrillic 324
 
11.9%
Arabic 30
 
1.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 214
 
11.6%
o 157
 
8.5%
i 120
 
6.5%
s 119
 
6.5%
a 109
 
5.9%
n 98
 
5.3%
t 90
 
4.9%
d 86
 
4.7%
r 73
 
4.0%
p 63
 
3.4%
Other values (51) 713
38.7%
Cyrillic
ValueCountFrequency (%)
и 44
13.6%
е 37
11.4%
р 34
 
10.5%
С 30
 
9.3%
я 27
 
8.3%
о 16
 
4.9%
а 16
 
4.9%
с 13
 
4.0%
т 10
 
3.1%
д 9
 
2.8%
Other values (34) 88
27.2%
Common
ValueCountFrequency (%)
349
67.4%
1 31
 
6.0%
3 19
 
3.7%
2 18
 
3.5%
8 12
 
2.3%
4 11
 
2.1%
6 10
 
1.9%
5 9
 
1.7%
. 7
 
1.4%
' 7
 
1.4%
Other values (18) 45
 
8.7%
Arabic
ValueCountFrequency (%)
ا 7
23.3%
ل 7
23.3%
ة 3
10.0%
ح 2
 
6.7%
ق 2
 
6.7%
ي 2
 
6.7%
م 2
 
6.7%
ن 2
 
6.7%
ك 1
 
3.3%
ت 1
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2341
86.3%
Cyrillic 324
 
11.9%
Arabic 30
 
1.1%
None 16
 
0.6%
Letterlike Symbols 1
 
< 0.1%
Punctuation 1
 
< 0.1%
Currency Symbols 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
349
 
14.9%
e 214
 
9.1%
o 157
 
6.7%
i 120
 
5.1%
s 119
 
5.1%
a 109
 
4.7%
n 98
 
4.2%
t 90
 
3.8%
d 86
 
3.7%
r 73
 
3.1%
Other values (64) 926
39.6%
Cyrillic
ValueCountFrequency (%)
и 44
13.6%
е 37
11.4%
р 34
 
10.5%
С 30
 
9.3%
я 27
 
8.3%
о 16
 
4.9%
а 16
 
4.9%
с 13
 
4.0%
т 10
 
3.1%
д 9
 
2.8%
Other values (34) 88
27.2%
Arabic
ValueCountFrequency (%)
ا 7
23.3%
ل 7
23.3%
ة 3
10.0%
ح 2
 
6.7%
ق 2
 
6.7%
ي 2
 
6.7%
م 2
 
6.7%
ن 2
 
6.7%
ك 1
 
3.3%
ت 1
 
3.3%
None
ValueCountFrequency (%)
ä 3
18.8%
ö 2
12.5%
á 2
12.5%
ñ 1
 
6.2%
í 1
 
6.2%
¿ 1
 
6.2%
ó 1
 
6.2%
ã 1
 
6.2%
ú 1
 
6.2%
Ä 1
 
6.2%
Other values (2) 2
12.5%
Letterlike Symbols
ValueCountFrequency (%)
1
100.0%
Punctuation
ValueCountFrequency (%)
1
100.0%
Currency Symbols
ValueCountFrequency (%)
1
100.0%

season
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean62.017544
Minimum1
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:51.966264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median1
Q33
95-th percentile20.5
Maximum2022
Range2021
Interquartile range (IQR)2

Descriptive statistics

Standard deviation341.19662
Coefficient of variation (CV)5.5016146
Kurtosis30.124444
Mean62.017544
Median Absolute Deviation (MAD)0
Skewness5.6359974
Sum10605
Variance116415.13
MonotonicityNot monotonic
2023-08-05T16:18:52.119238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
1 111
64.9%
2 16
 
9.4%
3 11
 
6.4%
2022 5
 
2.9%
4 5
 
2.9%
5 4
 
2.3%
13 2
 
1.2%
6 2
 
1.2%
11 2
 
1.2%
9 2
 
1.2%
Other values (11) 11
 
6.4%
ValueCountFrequency (%)
1 111
64.9%
2 16
 
9.4%
3 11
 
6.4%
4 5
 
2.9%
5 4
 
2.3%
6 2
 
1.2%
7 1
 
0.6%
8 1
 
0.6%
9 2
 
1.2%
10 1
 
0.6%
ValueCountFrequency (%)
2022 5
2.9%
39 1
 
0.6%
28 1
 
0.6%
23 1
 
0.6%
22 1
 
0.6%
19 1
 
0.6%
17 1
 
0.6%
16 1
 
0.6%
13 2
 
1.2%
12 1
 
0.6%

number
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct45
Distinct (%)26.6%
Missing2
Missing (%)1.2%
Infinite0
Infinite (%)0.0%
Mean18.940828
Minimum1
Maximum265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:52.288500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median6
Q312
95-th percentile88.6
Maximum265
Range264
Interquartile range (IQR)9

Descriptive statistics

Standard deviation39.999361
Coefficient of variation (CV)2.1118063
Kurtosis19.074082
Mean18.940828
Median Absolute Deviation (MAD)4
Skewness4.1083447
Sum3201
Variance1599.9489
MonotonicityNot monotonic
2023-08-05T16:18:52.461704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
1 22
12.9%
6 16
 
9.4%
2 16
 
9.4%
3 16
 
9.4%
4 14
 
8.2%
5 12
 
7.0%
8 10
 
5.8%
11 6
 
3.5%
7 5
 
2.9%
12 5
 
2.9%
Other values (35) 47
27.5%
ValueCountFrequency (%)
1 22
12.9%
2 16
9.4%
3 16
9.4%
4 14
8.2%
5 12
7.0%
6 16
9.4%
7 5
 
2.9%
8 10
5.8%
9 1
 
0.6%
10 4
 
2.3%
ValueCountFrequency (%)
265 1
0.6%
240 1
0.6%
238 1
0.6%
152 1
0.6%
138 1
0.6%
116 1
0.6%
115 1
0.6%
96 1
0.6%
89 1
0.6%
88 1
0.6%

type
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
regular
169 
significant_special
 
1
insignificant_special
 
1

Length

Max length21
Median length7
Mean length7.1520468
Min length7

Characters and Unicode

Total characters1223
Distinct characters14
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique2 ?
Unique (%)1.2%

Sample

1st rowregular
2nd rowregular
3rd rowregular
4th rowregular
5th rowregular

Common Values

ValueCountFrequency (%)
regular 169
98.8%
significant_special 1
 
0.6%
insignificant_special 1
 
0.6%

Length

2023-08-05T16:18:52.631360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T16:18:52.781937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
regular 169
98.8%
significant_special 1
 
0.6%
insignificant_special 1
 
0.6%

Most occurring characters

ValueCountFrequency (%)
r 338
27.6%
a 173
14.1%
e 171
14.0%
g 171
14.0%
l 171
14.0%
u 169
13.8%
i 9
 
0.7%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1221
99.8%
Connector Punctuation 2
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
r 338
27.7%
a 173
14.2%
e 171
14.0%
g 171
14.0%
l 171
14.0%
u 169
13.8%
i 9
 
0.7%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.5%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1221
99.8%
Common 2
 
0.2%

Most frequent character per script

Latin
ValueCountFrequency (%)
r 338
27.7%
a 173
14.2%
e 171
14.0%
g 171
14.0%
l 171
14.0%
u 169
13.8%
i 9
 
0.7%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (3) 6
 
0.5%
Common
ValueCountFrequency (%)
_ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1223
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
r 338
27.6%
a 173
14.1%
e 171
14.0%
g 171
14.0%
l 171
14.0%
u 169
13.8%
i 9
 
0.7%
n 5
 
0.4%
s 4
 
0.3%
c 4
 
0.3%
Other values (4) 8
 
0.7%

airdate
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-12-01
171 

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1710
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-01
2nd row2022-12-01
3rd row2022-12-01
4th row2022-12-01
5th row2022-12-01

Common Values

ValueCountFrequency (%)
2022-12-01 171
100.0%

Length

2023-08-05T16:18:52.957560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-08-05T16:18:53.119713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-01 171
100.0%

Most occurring characters

ValueCountFrequency (%)
2 684
40.0%
0 342
20.0%
- 342
20.0%
1 342
20.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1368
80.0%
Dash Punctuation 342
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 684
50.0%
0 342
25.0%
1 342
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1710
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 684
40.0%
0 342
20.0%
- 342
20.0%
1 342
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1710
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 684
40.0%
0 342
20.0%
- 342
20.0%
1 342
20.0%

airtime
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct19
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
131 
06:00
 
11
12:00
 
5
22:00
 
3
10:00
 
3
Other values (14)
18 

Length

Max length5
Median length0
Mean length1.1695906
Min length0

Characters and Unicode

Total characters200
Distinct characters10
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)6.4%

Sample

1st row
2nd row
3rd row
4th row
5th row12:00

Common Values

ValueCountFrequency (%)
131
76.6%
06:00 11
 
6.4%
12:00 5
 
2.9%
22:00 3
 
1.8%
10:00 3
 
1.8%
00:00 3
 
1.8%
17:35 2
 
1.2%
19:00 2
 
1.2%
20:30 1
 
0.6%
11:00 1
 
0.6%
Other values (9) 9
 
5.3%

Length

2023-08-05T16:18:53.270221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
06:00 11
27.5%
12:00 5
12.5%
22:00 3
 
7.5%
10:00 3
 
7.5%
00:00 3
 
7.5%
17:35 2
 
5.0%
19:00 2
 
5.0%
21:00 1
 
2.5%
19:30 1
 
2.5%
19:25 1
 
2.5%
Other values (8) 8
20.0%

Most occurring characters

ValueCountFrequency (%)
0 89
44.5%
: 40
20.0%
1 21
 
10.5%
2 16
 
8.0%
6 11
 
5.5%
5 7
 
3.5%
9 6
 
3.0%
3 5
 
2.5%
7 4
 
2.0%
8 1
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 160
80.0%
Other Punctuation 40
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
55.6%
1 21
 
13.1%
2 16
 
10.0%
6 11
 
6.9%
5 7
 
4.4%
9 6
 
3.8%
3 5
 
3.1%
7 4
 
2.5%
8 1
 
0.6%
Other Punctuation
ValueCountFrequency (%)
: 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 200
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 89
44.5%
: 40
20.0%
1 21
 
10.5%
2 16
 
8.0%
6 11
 
5.5%
5 7
 
3.5%
9 6
 
3.0%
3 5
 
2.5%
7 4
 
2.0%
8 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 200
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 89
44.5%
: 40
20.0%
1 21
 
10.5%
2 16
 
8.0%
6 11
 
5.5%
5 7
 
3.5%
9 6
 
3.0%
3 5
 
2.5%
7 4
 
2.0%
8 1
 
0.5%

airstamp
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2022-12-01T12:00:00+00:00
69 
2022-12-01T00:00:00+00:00
24 
2022-12-01T17:00:00+00:00
14 
2022-12-01T06:00:00+00:00
2022-12-01T01:00:00+00:00
Other values (21)
47 

Length

Max length25
Median length25
Mean length25
Min length25

Characters and Unicode

Total characters4275
Distinct characters13
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)7.6%

Sample

1st row2022-12-01T00:00:00+00:00
2nd row2022-12-01T00:00:00+00:00
3rd row2022-12-01T00:00:00+00:00
4th row2022-12-01T00:00:00+00:00
5th row2022-12-01T00:00:00+00:00

Common Values

ValueCountFrequency (%)
2022-12-01T12:00:00+00:00 69
40.4%
2022-12-01T00:00:00+00:00 24
 
14.0%
2022-12-01T17:00:00+00:00 14
 
8.2%
2022-12-01T06:00:00+00:00 9
 
5.3%
2022-12-01T01:00:00+00:00 8
 
4.7%
2022-12-01T11:00:00+00:00 8
 
4.7%
2022-12-01T04:00:00+00:00 7
 
4.1%
2022-12-01T03:00:00+00:00 5
 
2.9%
2022-12-01T16:00:00+00:00 4
 
2.3%
2022-12-01T02:00:00+00:00 3
 
1.8%
Other values (16) 20
 
11.7%

Length

2023-08-05T16:18:53.471675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2022-12-01t12:00:00+00:00 69
40.4%
2022-12-01t00:00:00+00:00 24
 
14.0%
2022-12-01t17:00:00+00:00 14
 
8.2%
2022-12-01t06:00:00+00:00 9
 
5.3%
2022-12-01t01:00:00+00:00 8
 
4.7%
2022-12-01t11:00:00+00:00 8
 
4.7%
2022-12-01t04:00:00+00:00 7
 
4.1%
2022-12-01t03:00:00+00:00 5
 
2.9%
2022-12-01t16:00:00+00:00 4
 
2.3%
2022-12-02t00:00:00+00:00 3
 
1.8%
Other values (16) 20
 
11.7%

Most occurring characters

ValueCountFrequency (%)
0 1793
41.9%
2 764
17.9%
: 513
 
12.0%
1 458
 
10.7%
- 342
 
8.0%
T 171
 
4.0%
+ 171
 
4.0%
7 15
 
0.4%
6 14
 
0.3%
3 13
 
0.3%
Other values (3) 21
 
0.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3078
72.0%
Other Punctuation 513
 
12.0%
Dash Punctuation 342
 
8.0%
Uppercase Letter 171
 
4.0%
Math Symbol 171
 
4.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 1793
58.3%
2 764
24.8%
1 458
 
14.9%
7 15
 
0.5%
6 14
 
0.5%
3 13
 
0.4%
5 11
 
0.4%
4 7
 
0.2%
8 3
 
0.1%
Other Punctuation
ValueCountFrequency (%)
: 513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 342
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 171
100.0%
Math Symbol
ValueCountFrequency (%)
+ 171
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4104
96.0%
Latin 171
 
4.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 1793
43.7%
2 764
18.6%
: 513
 
12.5%
1 458
 
11.2%
- 342
 
8.3%
+ 171
 
4.2%
7 15
 
0.4%
6 14
 
0.3%
3 13
 
0.3%
5 11
 
0.3%
Other values (2) 10
 
0.2%
Latin
ValueCountFrequency (%)
T 171
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4275
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 1793
41.9%
2 764
17.9%
: 513
 
12.0%
1 458
 
10.7%
- 342
 
8.0%
T 171
 
4.0%
+ 171
 
4.0%
7 15
 
0.4%
6 14
 
0.3%
3 13
 
0.3%
Other values (3) 21
 
0.5%

runtime
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct52
Distinct (%)32.5%
Missing11
Missing (%)6.4%
Infinite0
Infinite (%)0.0%
Mean36.50625
Minimum2
Maximum240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:53.645622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile10
Q123
median31
Q347
95-th percentile60
Maximum240
Range238
Interquartile range (IQR)24

Descriptive statistics

Standard deviation25.956664
Coefficient of variation (CV)0.71101972
Kurtosis28.746689
Mean36.50625
Median Absolute Deviation (MAD)13
Skewness4.2821136
Sum5841
Variance673.74839
MonotonicityNot monotonic
2023-08-05T16:18:53.816447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 12
 
7.0%
50 11
 
6.4%
30 10
 
5.8%
44 7
 
4.1%
49 7
 
4.1%
45 7
 
4.1%
22 7
 
4.1%
10 6
 
3.5%
15 5
 
2.9%
20 5
 
2.9%
Other values (42) 83
48.5%
(Missing) 11
 
6.4%
ValueCountFrequency (%)
2 2
 
1.2%
4 1
 
0.6%
5 1
 
0.6%
7 1
 
0.6%
10 6
3.5%
11 1
 
0.6%
12 3
1.8%
14 1
 
0.6%
15 5
2.9%
16 1
 
0.6%
ValueCountFrequency (%)
240 1
 
0.6%
180 1
 
0.6%
121 1
 
0.6%
73 1
 
0.6%
69 2
1.2%
60 4
2.3%
59 1
 
0.6%
58 3
1.8%
57 3
1.8%
54 1
 
0.6%

rating_average
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing171
Missing (%)100.0%
Memory size1.5 KiB

medium
Text

MISSING 

Distinct80
Distinct (%)100.0%
Missing91
Missing (%)53.2%
Memory size1.5 KiB
2023-08-05T16:18:54.077425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length73
Mean length73
Min length73

Characters and Unicode

Total characters5840
Distinct characters32
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/medium_landscape/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/medium_landscape/432/1081736.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/434/1085583.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084040.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084095.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082878.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084090.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084089.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082867.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1084088.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/medium_landscape/433/1082868.jpg 1
 
1.2%
Other values (70) 70
87.5%
2023-08-05T16:18:54.482607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 560
 
9.6%
a 480
 
8.2%
t 400
 
6.8%
s 400
 
6.8%
m 400
 
6.8%
p 320
 
5.5%
e 320
 
5.5%
. 240
 
4.1%
c 240
 
4.1%
d 240
 
4.1%
Other values (22) 2240
38.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4080
69.9%
Other Punctuation 880
 
15.1%
Decimal Number 800
 
13.7%
Connector Punctuation 80
 
1.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a 480
11.8%
t 400
9.8%
s 400
9.8%
m 400
9.8%
p 320
 
7.8%
e 320
 
7.8%
c 240
 
5.9%
d 240
 
5.9%
i 240
 
5.9%
g 160
 
3.9%
Other values (8) 880
21.6%
Decimal Number
ValueCountFrequency (%)
4 137
17.1%
1 135
16.9%
3 112
14.0%
0 105
13.1%
8 90
11.2%
9 61
7.6%
2 51
 
6.4%
5 44
 
5.5%
7 35
 
4.4%
6 30
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 560
63.6%
. 240
27.3%
: 80
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4080
69.9%
Common 1760
30.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
a 480
11.8%
t 400
9.8%
s 400
9.8%
m 400
9.8%
p 320
 
7.8%
e 320
 
7.8%
c 240
 
5.9%
d 240
 
5.9%
i 240
 
5.9%
g 160
 
3.9%
Other values (8) 880
21.6%
Common
ValueCountFrequency (%)
/ 560
31.8%
. 240
13.6%
4 137
 
7.8%
1 135
 
7.7%
3 112
 
6.4%
0 105
 
6.0%
8 90
 
5.1%
_ 80
 
4.5%
: 80
 
4.5%
9 61
 
3.5%
Other values (4) 160
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5840
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 560
 
9.6%
a 480
 
8.2%
t 400
 
6.8%
s 400
 
6.8%
m 400
 
6.8%
p 320
 
5.5%
e 320
 
5.5%
. 240
 
4.1%
c 240
 
4.1%
d 240
 
4.1%
Other values (22) 2240
38.4%

original
Text

MISSING 

Distinct80
Distinct (%)100.0%
Missing91
Missing (%)53.2%
Memory size1.5 KiB
2023-08-05T16:18:54.747584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length75
Median length75
Mean length75
Min length75

Characters and Unicode

Total characters6000
Distinct characters33
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique80 ?
Unique (%)100.0%

Sample

1st rowhttps://static.tvmaze.com/uploads/images/original_untouched/432/1081693.jpg
2nd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg
3rd rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg
4th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg
5th rowhttps://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg
ValueCountFrequency (%)
https://static.tvmaze.com/uploads/images/original_untouched/432/1081736.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/434/1085583.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084040.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084095.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082878.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084090.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084089.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082867.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1084088.jpg 1
 
1.2%
https://static.tvmaze.com/uploads/images/original_untouched/433/1082868.jpg 1
 
1.2%
Other values (70) 70
87.5%
2023-08-05T16:18:55.142190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 560
 
9.3%
t 480
 
8.0%
a 400
 
6.7%
s 320
 
5.3%
i 320
 
5.3%
o 320
 
5.3%
p 240
 
4.0%
c 240
 
4.0%
. 240
 
4.0%
g 240
 
4.0%
Other values (23) 2640
44.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4240
70.7%
Other Punctuation 880
 
14.7%
Decimal Number 800
 
13.3%
Connector Punctuation 80
 
1.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 480
 
11.3%
a 400
 
9.4%
s 320
 
7.5%
i 320
 
7.5%
o 320
 
7.5%
p 240
 
5.7%
c 240
 
5.7%
g 240
 
5.7%
m 240
 
5.7%
e 240
 
5.7%
Other values (9) 1200
28.3%
Decimal Number
ValueCountFrequency (%)
4 137
17.1%
1 135
16.9%
3 112
14.0%
0 105
13.1%
8 90
11.2%
9 61
7.6%
2 51
 
6.4%
5 44
 
5.5%
7 35
 
4.4%
6 30
 
3.8%
Other Punctuation
ValueCountFrequency (%)
/ 560
63.6%
. 240
27.3%
: 80
 
9.1%
Connector Punctuation
ValueCountFrequency (%)
_ 80
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 4240
70.7%
Common 1760
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 480
 
11.3%
a 400
 
9.4%
s 320
 
7.5%
i 320
 
7.5%
o 320
 
7.5%
p 240
 
5.7%
c 240
 
5.7%
g 240
 
5.7%
m 240
 
5.7%
e 240
 
5.7%
Other values (9) 1200
28.3%
Common
ValueCountFrequency (%)
/ 560
31.8%
. 240
13.6%
4 137
 
7.8%
1 135
 
7.7%
3 112
 
6.4%
0 105
 
6.0%
8 90
 
5.1%
: 80
 
4.5%
_ 80
 
4.5%
9 61
 
3.5%
Other values (4) 160
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 560
 
9.3%
t 480
 
8.0%
a 400
 
6.7%
s 320
 
5.3%
i 320
 
5.3%
o 320
 
5.3%
p 240
 
4.0%
c 240
 
4.0%
. 240
 
4.0%
g 240
 
4.0%
Other values (23) 2640
44.0%

_links_self
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:55.377772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length39
Mean length39
Min length39

Characters and Unicode

Total characters6669
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)100.0%

Sample

1st rowhttps://api.tvmaze.com/episodes/2450906
2nd rowhttps://api.tvmaze.com/episodes/2450907
3rd rowhttps://api.tvmaze.com/episodes/2438114
4th rowhttps://api.tvmaze.com/episodes/2438115
5th rowhttps://api.tvmaze.com/episodes/2413779
ValueCountFrequency (%)
https://api.tvmaze.com/episodes/2450906 1
 
0.6%
https://api.tvmaze.com/episodes/2433630 1
 
0.6%
https://api.tvmaze.com/episodes/2476693 1
 
0.6%
https://api.tvmaze.com/episodes/2438114 1
 
0.6%
https://api.tvmaze.com/episodes/2438115 1
 
0.6%
https://api.tvmaze.com/episodes/2413779 1
 
0.6%
https://api.tvmaze.com/episodes/2323161 1
 
0.6%
https://api.tvmaze.com/episodes/2433627 1
 
0.6%
https://api.tvmaze.com/episodes/2433628 1
 
0.6%
https://api.tvmaze.com/episodes/2433629 1
 
0.6%
Other values (161) 161
94.2%
2023-08-05T16:18:55.748075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 684
 
10.3%
p 513
 
7.7%
s 513
 
7.7%
e 513
 
7.7%
t 513
 
7.7%
o 342
 
5.1%
a 342
 
5.1%
i 342
 
5.1%
. 342
 
5.1%
m 342
 
5.1%
Other values (16) 2223
33.3%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 4275
64.1%
Other Punctuation 1197
 
17.9%
Decimal Number 1197
 
17.9%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
p 513
12.0%
s 513
12.0%
e 513
12.0%
t 513
12.0%
o 342
8.0%
a 342
8.0%
i 342
8.0%
m 342
8.0%
h 171
 
4.0%
d 171
 
4.0%
Other values (3) 513
12.0%
Decimal Number
ValueCountFrequency (%)
2 271
22.6%
4 223
18.6%
3 134
11.2%
0 98
 
8.2%
1 97
 
8.1%
5 84
 
7.0%
7 76
 
6.3%
9 74
 
6.2%
6 71
 
5.9%
8 69
 
5.8%
Other Punctuation
ValueCountFrequency (%)
/ 684
57.1%
. 342
28.6%
: 171
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 4275
64.1%
Common 2394
35.9%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 684
28.6%
. 342
14.3%
2 271
 
11.3%
4 223
 
9.3%
: 171
 
7.1%
3 134
 
5.6%
0 98
 
4.1%
1 97
 
4.1%
5 84
 
3.5%
7 76
 
3.2%
Other values (3) 214
 
8.9%
Latin
ValueCountFrequency (%)
p 513
12.0%
s 513
12.0%
e 513
12.0%
t 513
12.0%
o 342
8.0%
a 342
8.0%
i 342
8.0%
m 342
8.0%
h 171
 
4.0%
d 171
 
4.0%
Other values (3) 513
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6669
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 684
 
10.3%
p 513
 
7.7%
s 513
 
7.7%
e 513
 
7.7%
t 513
 
7.7%
o 342
 
5.1%
a 342
 
5.1%
i 342
 
5.1%
. 342
 
5.1%
m 342
 
5.1%
Other values (16) 2223
33.3%
Distinct110
Distinct (%)64.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-08-05T16:18:55.981025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length34
Mean length33.964912
Min length31

Characters and Unicode

Total characters5808
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)48.5%

Sample

1st rowhttps://api.tvmaze.com/shows/55724
2nd rowhttps://api.tvmaze.com/shows/55724
3rd rowhttps://api.tvmaze.com/shows/59201
4th rowhttps://api.tvmaze.com/shows/59201
5th rowhttps://api.tvmaze.com/shows/60687
ValueCountFrequency (%)
https://api.tvmaze.com/shows/64860 8
 
4.7%
https://api.tvmaze.com/shows/61880 7
 
4.1%
https://api.tvmaze.com/shows/65188 6
 
3.5%
https://api.tvmaze.com/shows/65365 6
 
3.5%
https://api.tvmaze.com/shows/60736 6
 
3.5%
https://api.tvmaze.com/shows/66150 5
 
2.9%
https://api.tvmaze.com/shows/66583 5
 
2.9%
https://api.tvmaze.com/shows/65911 4
 
2.3%
https://api.tvmaze.com/shows/67168 3
 
1.8%
https://api.tvmaze.com/shows/47633 3
 
1.8%
Other values (100) 118
69.0%
2023-08-05T16:18:56.364022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 684
 
11.8%
s 513
 
8.8%
t 513
 
8.8%
h 342
 
5.9%
p 342
 
5.9%
a 342
 
5.9%
. 342
 
5.9%
o 342
 
5.9%
m 342
 
5.9%
6 202
 
3.5%
Other values (16) 1844
31.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 3762
64.8%
Other Punctuation 1197
 
20.6%
Decimal Number 849
 
14.6%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
s 513
13.6%
t 513
13.6%
h 342
9.1%
p 342
9.1%
a 342
9.1%
o 342
9.1%
m 342
9.1%
e 171
 
4.5%
w 171
 
4.5%
c 171
 
4.5%
Other values (3) 513
13.6%
Decimal Number
ValueCountFrequency (%)
6 202
23.8%
5 101
11.9%
4 95
11.2%
1 87
10.2%
8 82
9.7%
3 69
 
8.1%
0 62
 
7.3%
2 62
 
7.3%
7 47
 
5.5%
9 42
 
4.9%
Other Punctuation
ValueCountFrequency (%)
/ 684
57.1%
. 342
28.6%
: 171
 
14.3%

Most occurring scripts

ValueCountFrequency (%)
Latin 3762
64.8%
Common 2046
35.2%

Most frequent character per script

Common
ValueCountFrequency (%)
/ 684
33.4%
. 342
16.7%
6 202
 
9.9%
: 171
 
8.4%
5 101
 
4.9%
4 95
 
4.6%
1 87
 
4.3%
8 82
 
4.0%
3 69
 
3.4%
0 62
 
3.0%
Other values (3) 151
 
7.4%
Latin
ValueCountFrequency (%)
s 513
13.6%
t 513
13.6%
h 342
9.1%
p 342
9.1%
a 342
9.1%
o 342
9.1%
m 342
9.1%
e 171
 
4.5%
w 171
 
4.5%
c 171
 
4.5%
Other values (3) 513
13.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 5808
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 684
 
11.8%
s 513
 
8.8%
t 513
 
8.8%
h 342
 
5.9%
p 342
 
5.9%
a 342
 
5.9%
. 342
 
5.9%
o 342
 
5.9%
m 342
 
5.9%
6 202
 
3.5%
Other values (16) 1844
31.7%

summary
Text

MISSING 

Distinct79
Distinct (%)100.0%
Missing92
Missing (%)53.8%
Memory size1.5 KiB
2023-08-05T16:18:56.683421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length512
Median length191
Mean length188.82278
Min length40

Characters and Unicode

Total characters14917
Distinct characters78
Distinct categories10 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)100.0%

Sample

1st row<p>Gordon's day goes from bad to worse when, distracted by the impulsive actions of an attractive stranger, Ashley, he accidentally hits a stray dog with his car.</p>
2nd row<p>When Ashley makes a mess in Gordon's sock drawer, she makes an impromptu trip to Costco with Colin, Megan and her mother, to buy Gordon some new furniture.</p>
3rd row<p>Gordon accidentally sends Ashley a dick pic and chases her from a garage sale to a death bed to try and delete it.</p>
4th row<p>Ash and Gordon's awkward sexual encounter causes them to drift apart.</p>
5th row<p>The Echo Park gang are impressed when Ashley takes charge during a power outage.</p>
ValueCountFrequency (%)
the 106
 
4.3%
to 102
 
4.1%
a 86
 
3.5%
and 83
 
3.3%
in 63
 
2.5%
of 51
 
2.1%
her 36
 
1.4%
with 25
 
1.0%
she 22
 
0.9%
is 22
 
0.9%
Other values (1183) 1888
76.0%
2023-08-05T16:18:57.192163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2403
16.1%
e 1350
 
9.1%
a 972
 
6.5%
t 970
 
6.5%
n 849
 
5.7%
o 837
 
5.6%
s 830
 
5.6%
i 816
 
5.5%
r 706
 
4.7%
h 551
 
3.7%
Other values (68) 4633
31.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 11230
75.3%
Space Separator 2405
 
16.1%
Uppercase Letter 480
 
3.2%
Other Punctuation 428
 
2.9%
Math Symbol 324
 
2.2%
Dash Punctuation 27
 
0.2%
Decimal Number 17
 
0.1%
Close Punctuation 2
 
< 0.1%
Initial Punctuation 2
 
< 0.1%
Open Punctuation 2
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
e 1350
12.0%
a 972
 
8.7%
t 970
 
8.6%
n 849
 
7.6%
o 837
 
7.5%
s 830
 
7.4%
i 816
 
7.3%
r 706
 
6.3%
h 551
 
4.9%
l 430
 
3.8%
Other values (17) 2919
26.0%
Uppercase Letter
ValueCountFrequency (%)
A 56
 
11.7%
T 47
 
9.8%
S 42
 
8.8%
L 39
 
8.1%
C 35
 
7.3%
B 24
 
5.0%
M 23
 
4.8%
W 23
 
4.8%
J 22
 
4.6%
G 22
 
4.6%
Other values (14) 147
30.6%
Other Punctuation
ValueCountFrequency (%)
. 159
37.1%
, 114
26.6%
/ 82
19.2%
' 55
 
12.9%
" 8
 
1.9%
! 4
 
0.9%
? 3
 
0.7%
; 1
 
0.2%
: 1
 
0.2%
1
 
0.2%
Decimal Number
ValueCountFrequency (%)
2 6
35.3%
6 2
 
11.8%
0 2
 
11.8%
9 2
 
11.8%
4 2
 
11.8%
1 2
 
11.8%
3 1
 
5.9%
Dash Punctuation
ValueCountFrequency (%)
- 21
77.8%
4
 
14.8%
2
 
7.4%
Space Separator
ValueCountFrequency (%)
2403
99.9%
  2
 
0.1%
Math Symbol
ValueCountFrequency (%)
< 162
50.0%
> 162
50.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 11710
78.5%
Common 3207
 
21.5%

Most frequent character per script

Latin
ValueCountFrequency (%)
e 1350
 
11.5%
a 972
 
8.3%
t 970
 
8.3%
n 849
 
7.3%
o 837
 
7.1%
s 830
 
7.1%
i 816
 
7.0%
r 706
 
6.0%
h 551
 
4.7%
l 430
 
3.7%
Other values (41) 3399
29.0%
Common
ValueCountFrequency (%)
2403
74.9%
< 162
 
5.1%
> 162
 
5.1%
. 159
 
5.0%
, 114
 
3.6%
/ 82
 
2.6%
' 55
 
1.7%
- 21
 
0.7%
" 8
 
0.2%
2 6
 
0.2%
Other values (17) 35
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 14904
99.9%
Punctuation 9
 
0.1%
None 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2403
16.1%
e 1350
 
9.1%
a 972
 
6.5%
t 970
 
6.5%
n 849
 
5.7%
o 837
 
5.6%
s 830
 
5.6%
i 816
 
5.5%
r 706
 
4.7%
h 551
 
3.7%
Other values (62) 4620
31.0%
Punctuation
ValueCountFrequency (%)
4
44.4%
2
22.2%
2
22.2%
1
 
11.1%
None
ValueCountFrequency (%)
ñ 2
50.0%
  2
50.0%

Interactions

2023-08-05T16:18:48.219710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:45.929390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.455407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.026009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.686024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.320616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.026343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.563654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.129797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.794492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.431844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.148271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.695439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.374153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.900859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.541551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.258426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.824248image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.484892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.021013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.642365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.351341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:46.923172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:47.584367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-08-05T16:18:48.115940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-08-05T16:18:57.318544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
idid_embeddedseasonnumberruntimetypeairtimeairstamp
id1.0000.3830.0470.114-0.3700.0000.0000.221
id_embedded0.3831.000-0.702-0.387-0.2170.4080.4060.375
season0.047-0.7021.0000.394-0.0000.0000.3090.278
number0.114-0.3870.3941.000-0.3211.0000.5120.527
runtime-0.370-0.217-0.000-0.3211.0000.7000.0000.409
type0.0000.4080.0001.0000.7001.0000.2460.149
airtime0.0000.4060.3090.5120.0000.2461.0000.871
airstamp0.2210.3750.2780.5270.4090.1490.8711.000

Missing values

2023-08-05T16:18:48.797451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-08-05T16:18:49.059216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2023-08-05T16:18:49.227966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
0245090655724https://www.tvmaze.com/episodes/2450906/hocu-vse-znat-2x87-seria-87Серия 87287.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450906https://api.tvmaze.com/shows/55724None
1245090755724https://www.tvmaze.com/episodes/2450907/hocu-vse-znat-2x88-seria-88Серия 88288.0regular2022-12-012022-12-01T00:00:00+00:0012.0NoneNoneNonehttps://api.tvmaze.com/episodes/2450907https://api.tvmaze.com/shows/55724None
2243811459201https://www.tvmaze.com/episodes/2438114/restoran-po-ponatiam-2x05-seria-15Серия 1525.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438114https://api.tvmaze.com/shows/59201None
3243811559201https://www.tvmaze.com/episodes/2438115/restoran-po-ponatiam-2x06-seria-16Серия 1626.0regular2022-12-012022-12-01T00:00:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2438115https://api.tvmaze.com/shows/59201None
4241377960687https://www.tvmaze.com/episodes/2413779/alisa-ne-mozet-zdat-1x08-8-seria8 серия18.0regular2022-12-0112:002022-12-01T00:00:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2413779https://api.tvmaze.com/shows/60687None
5232316161880https://www.tvmaze.com/episodes/2323161/zamerzsie-1x01-seria-1Серия 111.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2323161https://api.tvmaze.com/shows/61880None
6243362761880https://www.tvmaze.com/episodes/2433627/zamerzsie-1x02-seria-2Серия 212.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433627https://api.tvmaze.com/shows/61880None
7243362861880https://www.tvmaze.com/episodes/2433628/zamerzsie-1x03-seria-3Серия 313.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433628https://api.tvmaze.com/shows/61880None
8243362961880https://www.tvmaze.com/episodes/2433629/zamerzsie-1x04-seria-4Серия 414.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433629https://api.tvmaze.com/shows/61880None
9243363061880https://www.tvmaze.com/episodes/2433630/zamerzsie-1x05-seria-5Серия 515.0regular2022-12-012022-12-01T00:00:00+00:0050.0NoneNoneNonehttps://api.tvmaze.com/episodes/2433630https://api.tvmaze.com/shows/61880None
idid_embeddedurlnameseasonnumbertypeairdateairtimeairstampruntimerating_averagemediumoriginal_links_self_links_showsummary
161246645066309https://www.tvmaze.com/episodes/2466450/la-rebelion-1x04-secreto-descubiertoSecreto descubierto14.0regular2022-12-012022-12-01T17:00:00+00:0039.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/441/1102948.jpghttps://static.tvmaze.com/uploads/images/original_untouched/441/1102948.jpghttps://api.tvmaze.com/episodes/2466450https://api.tvmaze.com/shows/66309<p>They all discover Yvonne's secret and discuss what to do about it. Raymundo and Mauricio begin to approach the place where the 4 friends are hiding. Regina and Diego rush to find them first to warn them.</p>
162249386567082https://www.tvmaze.com/episodes/2493865/inside-monster-jam-1x14-krysten-and-weston-andersonKrysten and Weston Anderson114.0regular2022-12-012022-12-01T17:00:00+00:0042.0NoneNoneNonehttps://api.tvmaze.com/episodes/2493865https://api.tvmaze.com/shows/67082<p>Monster Jam athletes and siblings Krysten and Weston Anderson stop by on "Inside Monster Jam" to discuss life growing up in the Anderson household.</p>
163245983962205https://www.tvmaze.com/episodes/2459839/bachelorette-sverige-3x12-avsnitt-12Avsnitt 12312.0regular2022-12-0119:002022-12-01T18:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2459839https://api.tvmaze.com/shows/62205None
164243034317046https://www.tvmaze.com/episodes/2430343/notruf-hafenkante-17x11-recht-und-unrechtRecht und Unrecht1711.0regular2022-12-0119:252022-12-01T18:25:00+00:0045.0NoneNoneNonehttps://api.tvmaze.com/episodes/2430343https://api.tvmaze.com/shows/17046None
165241935258216https://www.tvmaze.com/episodes/2419352/husdrommar-sicilien-3x06-detta-ar-battre-an-mogel-i-varje-fallDetta är bättre än mögel i varje fall36.0regular2022-12-0121:002022-12-01T20:00:00+00:0030.0Nonehttps://static.tvmaze.com/uploads/images/medium_landscape/432/1081656.jpghttps://static.tvmaze.com/uploads/images/original_untouched/432/1081656.jpghttps://api.tvmaze.com/episodes/2419352https://api.tvmaze.com/shows/58216None
16625019116220https://www.tvmaze.com/episodes/2501911/infoman-23x11-episode-11Episode 112311.0regular2022-12-0119:302022-12-01T23:30:00+00:0030.0NoneNoneNonehttps://api.tvmaze.com/episodes/2501911https://api.tvmaze.com/shows/6220None
167243490526341https://www.tvmaze.com/episodes/2434905/puppy-dog-pals-5x33-wrap-party-pupsWrap Party Pups533.0regular2022-12-0119:002022-12-02T00:00:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434905https://api.tvmaze.com/shows/26341<p>The pets go on a mission to find Grace's gift before she needs to swap presents.</p>
168243636639145https://www.tvmaze.com/episodes/2436366/de-ferias-com-o-ex-brasil-9x06-episodio-6Episódio 696.0regular2022-12-0122:002022-12-02T00:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2436366https://api.tvmaze.com/shows/39145None
169243919839145https://www.tvmaze.com/episodes/2439198/de-ferias-com-o-ex-brasil-s09-special-no-estudio-com-o-ex-caribe-s02e06No Estúdio com o Ex Caribe S02E069NaNinsignificant_special2022-12-0122:002022-12-02T00:00:00+00:0060.0NoneNoneNonehttps://api.tvmaze.com/episodes/2439198https://api.tvmaze.com/shows/39145None
170243490626341https://www.tvmaze.com/episodes/2434906/puppy-dog-pals-5x34-fixing-santas-sleighFixing Santa's Sleigh534.0regular2022-12-0119:152022-12-02T00:15:00+00:0015.0NoneNoneNonehttps://api.tvmaze.com/episodes/2434906https://api.tvmaze.com/shows/26341<p>When Santa's sleigh breaks down mid-delivery, the pets make it their mission to fix it.</p>